Electromagnetic simulation and electronic design automation(EDA)play an important role in the design of 5G antennas and radio chips.The simulation challenges include electromagnetic effects and long simulation time an...Electromagnetic simulation and electronic design automation(EDA)play an important role in the design of 5G antennas and radio chips.The simulation challenges include electromagnetic effects and long simulation time and this paper focuses on simulation software based on finite-element method(FEM).The state-of-the-art EDA software using novel computational techniques based on FEM can not only accelerate numerical analysis,but also enable optimization,sensitivity analysis and interactive design tuning based on rigorous electromagnetic model of a device.Several new techniques that help to mitigate the most challenging issues related to FEM based simulation are highlighted.In particular,methods for fast frequency sweep,mesh morphing and surrogate models for efficient optimization and manual design tuning are briefly described,and their efficiency is illustrated on examples involving a 5G multiple-input multiple-output(MIMO)antenna and filter.It is demonstrated that these new computational techniques enable significant reduction of time needed for design closure with the acceleration rates as large as tens or even over one hundred.展开更多
While sufficient review articles exist on inductive short-range wireless power transfer(WPT),long-haul microwave WPT(MWPT)for solar power satellites,and ambient microwave wireless energy harvesting(MWEH)in urban areas...While sufficient review articles exist on inductive short-range wireless power transfer(WPT),long-haul microwave WPT(MWPT)for solar power satellites,and ambient microwave wireless energy harvesting(MWEH)in urban areas,few studies focus on the fundamental modeling and related design automation of receiver systems.This article reviews the development of MWPT and MWEH receivers,with a focus on rectenna design automation.A novel rectifier model capable of accurately modeling the rectification process under both high and low input power is presented.The model reveals the theoretical boundary of radio frequency-to-direct current(dc)power conversion efficiency and,most importantly,enables an automated system design.The automated rectenna design flow is sequential,with the minimal engagement of iterative optimization.It covers the design automation of every module(i.e.,rectifiers,matching circuits,antennae,and dc–dc converters).Scaling-up of the technique to large rectenna arrays is also possible,where the challenges in array partitioning and power combining are briefly discussed.In addition,several cutting-edge rectenna techniques for MWPT and MWEH are reviewed,including the dynamic range extension technique,the harmonics-based retro-directive technique,and the simultaneous wireless information and power transfer technique,which can be good complements to the presented automated design methodology.展开更多
This review presents battery design automation(BDA)as a transformative artificial intelligence(AI)-driven paradigm for the next-generation lithium-ion battery research and development.Addressing the intricacy of the p...This review presents battery design automation(BDA)as a transformative artificial intelligence(AI)-driven paradigm for the next-generation lithium-ion battery research and development.Addressing the intricacy of the problems and challenges in developing lithium-ion batteries with better performance,which are cross-scale,long-process,and multi-factor,BDA integrates multi-scale simulations and artificial intelligence into a unified platform.It ranges from atomic-scale material screening to system-level performance prediction.By bridging the gap between scientific innovation and industrial applications,BDA facilitates the development of lithium-ion battery,enhancing its efficiency,safety,and energy density.The paper outlines BDA's architecture,core technologies,current progress,and future challenges,highlighting its potential to revolutionize the battery design process and strengthen the pivotal role of lithium-ion battery in energy storage technology.展开更多
Design automation is a core technology in industrial design software and an important branch of knowledge-worker automation.For example,electronic design automation(EDA)has played an important role in both academia an...Design automation is a core technology in industrial design software and an important branch of knowledge-worker automation.For example,electronic design automation(EDA)has played an important role in both academia and industry.Design automation for intelligent robots refers to the construction of unified modular graph models for the morphologies(body),controllers(brain),and vision systems(eye)of intelligent robots under digital twin architectures,which effectively supports the automation of the morphology,controller,and vision system design processes of intelligent robots by taking advantage of the powerful capabilities of genetic programming,evolutionary computation,deep learning,reinforcement learning,and causal reasoning in model representation,optimization,perception,decision making,and reasoning.Compared with traditional design methods,MOdular DEsigN Automation(MODENA)methods can significantly improve the design efficiency and performance of robots,effectively avoiding the repetitive trial-and-error processes of traditional design methods,and promoting automatic discovery of innovative designs.Thus,it is of considerable research significance to study MODENA methods for intelligent robots.To this end,this paper provides a systematic and comprehensive overview of applying MODENA in intelligent robots,analyzes the current problems and challenges in thefield,and provides an outlook for future research.First,the design automation for the robot morphologies and controllers is reviewed,individually,with automated design of control strategies for swarm robots also discussed,which has emerged as a prominent research focus recently.Next,the integrated design automation of both the morphologies and controllers for robotic systems is presented.Then,the design automation of the vision systems of intelligent robots is summarized when vision systems have become one of the most important modules for intelligent robotic systems.Then,the future research trends of integrated“Body-Brain-Eye”design automation for intelligent robots are discussed.Finally,the common key technologies,research challenges and opportunities in MODENA for intelligent robots are summarized.展开更多
Facing with the design activihes of low efficacy and low standard on design automationdue to the probabilishc, non-rational and non-standard product design. This Paper puts forward thetheory of generalized mapping, wh...Facing with the design activihes of low efficacy and low standard on design automationdue to the probabilishc, non-rational and non-standard product design. This Paper puts forward thetheory of generalized mapping, which is proved to be effective in the enhancemed of the creativity ofproduct design automation. It further explores the applicahon and progress in the creative greenproduct conceptual and detail design.展开更多
From the perspective of the development trend of mechanical automation, in the future development of science and technology, the mechanical manufacturing industry and mechanical automation technology are increasingly ...From the perspective of the development trend of mechanical automation, in the future development of science and technology, the mechanical manufacturing industry and mechanical automation technology are increasingly closely linked, and their technological integration will gradually deepen, thus significantly improving social benefits.展开更多
Product design is considered as the constraint satisfaction problem (CSP),and a new design approach basedon constraint network is proposed and applied to make designautomatic partially. By means of constraint extracti...Product design is considered as the constraint satisfaction problem (CSP),and a new design approach basedon constraint network is proposed and applied to make designautomatic partially. By means of constraint extraction, constraint network construction andoperation, constraint chains are acquired, and then the conceptual design scheme can be got bydecoding the information stored in the design constraint chains, which provides a novelty method formechanical product design automation. Shearing mechanism of shearing machine has been designed bythis way.展开更多
The development of new products of high quality, low unit cost, and short lead time to market are the key elements required for any enterprise to obtain a competitive advantage. This part of the paper presents a metho...The development of new products of high quality, low unit cost, and short lead time to market are the key elements required for any enterprise to obtain a competitive advantage. This part of the paper presents a methodology to automatically simulate the conceptual design results in the virtual entity form. To the identified basic mechanisms, their kinematic analysis is carried out by matching basic Barranov trusses, and their virtual entities are modeled based on feature-based technique and encapsulated as one design object. Based on the structures of the basic mechanisms and their connections, a space layout to the mechanical system corresponding to the symbolic scheme is then fulfilled. With the preset-assembly approach, all parts in the mechanical system are put onto proper positions where the constraint equations are met according to the space layout results. In this way, the virtual entity assembly model of the mechanical system relative to the symbolic scheme is set up. The approach presented in this paper can not only obtain innovative conceptual conceptual design results, but also can evaluate their performances under 3-D enviroment efficently.展开更多
The development of new products of high quality, low unit cost, and short lead time to market are the key elements required for any enterprise to obtain a competitive advantage. For shorting the lead time to market an...The development of new products of high quality, low unit cost, and short lead time to market are the key elements required for any enterprise to obtain a competitive advantage. For shorting the lead time to market and improving the creativity and performances of the product, a rule-based conceptual design approach and a methodology to simulate the conceptual design results generated in conceptual design process in automatical virtual entity form are presented in this paper. This part of paper presents a rule-based conceptual design method for generating creative conceptual design schemes of mechanisms based on Yan＇s kinematic chain regeneration creative design method. The design rules are adopted to describe the design requirements of the functional characteristics, the connection relationships and topological characteristics among mechanisms. Through the graphs-based reasoning process, the conceptual design space is expanded extremely, and the potential creative conceptual design results are then dug out. By refining the design rules, the solution exploration problem is avioded, and the tendentious conceptual design schemes are generated. Since mechanical, electrical and hydraulic subsystems can be transformed into general mechansims, the conceptual design method presented in this paper can also be applied in the conceptual design problem of complex mechatronic systems. And then the method to identify conceptual design schemes is given.展开更多
With the advent of the fourth industrial revolution,the construction industry has undergone a paradigm shift.The smart construction technology market is expected to grow 12%annually in developed countries due to advan...With the advent of the fourth industrial revolution,the construction industry has undergone a paradigm shift.The smart construction technology market is expected to grow 12%annually in developed countries due to advanced technology investments.It is expected that businesses requiring highly sophisticated technology,for instance companies that need their old facilities upgraded,will become the main focus of the market.As building information modeling(BIM)design is becoming mandatory,such as in the Korea Public Procurement Service,researches regarding building automation,construction,and operation integration management systems based on BIM are conducted.In addition,for construction projects of over 10 billion won,design value engineering(Design VE)implementation,including life cycle cost(LCC)analysis,is mandatory at the design stage to improve quality and reduce the lifetime costs of buildings.In this study,we propose an improvement plan for LCC analysis at the design stage using the KBIMS library,which is an open BIM library developed by the Korean government and research groups.We analyze the existing LCC method,KBIMS library,and attribute information,and model the process that is applied in the LCC analysis system.This is expected to complement the LCC analysis system and improve work productivity.展开更多
This paper proposes a wireframe model-based method for automated internal design. The method is used to extract geometric structure of an internal wireframe model and find out all loop structures of furniture models. ...This paper proposes a wireframe model-based method for automated internal design. The method is used to extract geometric structure of an internal wireframe model and find out all loop structures of furniture models. The wireframe models are classified as the multiple independent sub-models according to the geometric structure by statistical analysis. The corresponding models are selected from a 3D model database to build an internal scene based on characteristic points of furniture wireframe models. In the experiments 3D database via manually selected 268 3D furniture models from Google 3D warehouse is built up. The experiments show that the method can construct 3D scenes in 1.1×103 ms. This method costs less time compared with traditional hierarchical method and depth-sensing camera method in the same experimental conditions. The method can be also used for 3D visualization either with complex backgrounds.展开更多
When designing a complex mechatronics system,such as high speed trains,it is relatively difficult to effectively simulate the entire system's dynamic behaviors because it involves multi-disciplinary subsystems.Cur...When designing a complex mechatronics system,such as high speed trains,it is relatively difficult to effectively simulate the entire system's dynamic behaviors because it involves multi-disciplinary subsystems.Currently,a most practical approach for multi-disciplinary simulation is interface based coupling simulation method,but it faces a twofold challenge:spatial and time unsynchronizations among multi-directional coupling simulation of subsystems.A new collaborative simulation method with spatiotemporal synchronization process control is proposed for coupling simulating a given complex mechatronics system across multiple subsystems on different platforms.The method consists of 1)a coupler-based coupling mechanisms to define the interfacing and interaction mechanisms among subsystems,and 2)a simulation process control algorithm to realize the coupling simulation in a spatiotemporal synchronized manner.The test results from a case study show that the proposed method 1)can certainly be used to simulate the sub-systems interactions under different simulation conditions in an engineering system,and 2)effectively supports multi-directional coupling simulation among multi-disciplinary subsystems.This method has been successfully applied in China high speed train design and development processes,demonstrating that it can be applied in a wide range of engineering systems design and simulation with improved efficiency and effectiveness.展开更多
Explaining the causes of infeasibility of Boolean formulas has many practical applications in electronic design automation and formal verification of hardware.Furthermore,a minimum explanation of infeasibility that ex...Explaining the causes of infeasibility of Boolean formulas has many practical applications in electronic design automation and formal verification of hardware.Furthermore,a minimum explanation of infeasibility that excludes all irrelevant information is generally of interest.A smallest-cardinality unsatisfiable subset called a minimum unsatisfiable core can provide a succinct explanation of infea-sibility and is valuable for applications.However,little attention has been concentrated on extraction of minimum unsatisfiable core.In this paper,the relationship between maximal satisfiability and mini-mum unsatisfiability is presented and proved,then an efficient ant colony algorithm is proposed to derive an exact or nearly exact minimum unsatisfiable core based on the relationship.Finally,ex-perimental results on practical benchmarks compared with the best known approach are reported,and the results show that the ant colony algorithm strongly outperforms the best previous algorithm.展开更多
DAG-MAP is an FPGA technology mapping algorithm for delay optimization and the labeling phase is the algorithm’s kernel. This paper studied the labeling phase and presented an improved labeling method. It is shown th...DAG-MAP is an FPGA technology mapping algorithm for delay optimization and the labeling phase is the algorithm’s kernel. This paper studied the labeling phase and presented an improved labeling method. It is shown through the experimental results on MCNC benchmarks that the improved method is more effective than the original method while the computation time is almost the same.展开更多
Adder with high efficiency and accuracy is the major requirement for electronic circuit design.Here the optical logic gate based adder circuit is designed for better performance analysis of optical input signals varie...Adder with high efficiency and accuracy is the major requirement for electronic circuit design.Here the optical logic gate based adder circuit is designed for better performance analysis of optical input signals varied with the wavelength.Efficiency of the adder can be improved by increasing the speed of operation,reducing the complexity and power consumption.To maintain the high efficiency with accuracy,a new combination of adder has been proposed and tested in this work.A new adder by combining the logics of Brent Kung,Sklansky and Kogge Stone adders by Tree Grafting Technique(BSKTGT)has been tested along with individual Brent Kung,Sklansky,Kogge Stone,Knowles,Han Carlson and Ladner Fischer adders.All the existing and proposed adders have been designed and tested for efficiency with the help of Cadence platform with 45 nm technology.Efficiency in terms of Size reduction,Power reduction,Power Delay Product(PDP)and accuracy in adding 8 bit,16 bit and 32 bit values had been tested for all the adders and found that the 32 bit BSKTGT adder performed well in all aspects and have produced better efficiency with the power consumption of 52.512426μW with 3.16%of power saving over Brent Kung adder,utilised an area of 631.191 with 8.55%reduction over Kogge Stone Adder,has the cell count of 132 which is 10.61%reduction over Brent Kung Adder and PDP value of 122.6695 J,which is 0.46%less than that of the Han Carlson Adder.展开更多
In the past decade, the construction speed of high-rise office towers worldwide hasexhibited explosive growth. The unique morphological characteristics of high-rise office towersresult in higher shape factors and rela...In the past decade, the construction speed of high-rise office towers worldwide hasexhibited explosive growth. The unique morphological characteristics of high-rise office towersresult in higher shape factors and relatively larger thermal loads. The traditional workflow of“design-evaluation” in the early stages of design imposes constraints on the diversity of towermorphology, the timeliness of performance evaluation, and the efficient integration of systems. Therefore, targeting the geometric characteristics of high-rise office towers, a systematically developed and universally applicable design grammar, named “Vertex-Based PolygonalGenerative Grammar (VPGG)” is proposed. Additionally, a corresponding early-stage performance driven High-rise Office Tower Generative Design Framework (HOT_GDF) is introduced.Case study results demonstrate that, with the support of Artificial Neural Network, utilizingthis system can not only globally explore the diversity of tower morphologies but also efficiently uncover greater energy-saving potential in complex architectural forms compared tosimpler cubic forms, with an improvement of up to 7.76% during the early stages of design. Designed from the perspective of architects, the framework achieves logical, refined, and visualreal-time interaction between computers and human minds during the early stages of towerdesign. This enhances design efficiency and facilitates design decision-making. It systematically integrates considerations for environmental performance, such as thermal load and thermal comfort, into the design process. Furthermore, it couples various aspects of morphologicaldesign with corresponding building performance, helping users in making design decisions froma rational and quantifiable perspective. This captures greater design potential, encompassingboth form and performance, for high-rise office towers during the initial design phase.展开更多
Ship pipe layout optimization is one of the difficulties and hot spots in ship intelligent production design.A high-dimensional vector coding is proposed based on the research of related pipe coding and ship pipe rout...Ship pipe layout optimization is one of the difficulties and hot spots in ship intelligent production design.A high-dimensional vector coding is proposed based on the research of related pipe coding and ship pipe route features in this paper.The advantages of this coding method are concise structure,strong compatibility,and independence from the gridding space.Based on the proposed coding,the particle swarm optimization algorithm is implemented,and the algorithm is improved by the pre-selected path strategy and the branch-pipe processing strategy.Finally,two simulation results reveal that the proposed coding and algorithm have feasibility and engineering practicability.展开更多
We study the task of automated house design,which aims to automatically generate 3D houses from user requirements.However,in the automatic system,it is non-trivial due to the intrinsic complexity of house designing:1)...We study the task of automated house design,which aims to automatically generate 3D houses from user requirements.However,in the automatic system,it is non-trivial due to the intrinsic complexity of house designing:1)the understanding of user requirements,where the users can hardly provide high-quality requirements without any professional knowledge;2)the design of house plan,which mainly focuses on how to capture the effective information from user requirements.To address the above issues,we propose an automatic house design framework,called auto-3D-house design(A3HD).Unlike the previous works that consider the user requirements in an unstructured way(e.g.,natural language),we carefully design a structured list that divides the requirements into three parts(i.e.,layout,outline,and style),which focus on the attributes of rooms,the outline of the building,and the style of decoration,respectively.Following the processing of architects,we construct a bubble diagram(i.e.,graph)that covers the rooms′attributes and relations under the constraint of outline.In addition,we take each outline as a combination of points and orders,ensuring that it can represent the outlines with arbitrary shapes.Then,we propose a graph feature generation module(GFGM)to capture layout features from the bubble diagrams and an outline feature generation module(OFGM)for outline features.Finally,we render 3D houses according to the given style requirements in a rule-based method.Experiments on two benchmark datasets(i.e.,RPLAN and T3HM)demonstrate the effectiveness of our A3HD in terms of both quantitative and qualitative evaluation metrics.展开更多
Networks-on-chip(NoC)is a promising communication architecture for next generation SoC.The size of buffer used in on-chip routers impacts the silicon area and power consumption of NoC dominantly.It is important to pla...Networks-on-chip(NoC)is a promising communication architecture for next generation SoC.The size of buffer used in on-chip routers impacts the silicon area and power consumption of NoC dominantly.It is important to plan the total buffer-size and each router buffer-allocation carefully for an efficient NoC design.In this paper,we propose two buffer planning algorithms for application-specific NoC design.More precisely,given the traffic parameters and performance constraints of target application,the proposed algorithms automatically determine minimal buffer budget and assign the buffer depth for each input channel in different routers.The experimental results show that the proposed algorithms can significantly reduce total buffer usage and guarantee the performance requirements.展开更多
基金the Electromagnetic Design of Flexible Sensors Project under Grant No.POIR.04.04.00-00-1DC3/16-00,which is carried out within the Team-Tech Program of the Foundation for Polish Science co-financed by the European Union under the European Regional Development Fund,Smart Growth Operational Program 2014-2020.
文摘Electromagnetic simulation and electronic design automation(EDA)play an important role in the design of 5G antennas and radio chips.The simulation challenges include electromagnetic effects and long simulation time and this paper focuses on simulation software based on finite-element method(FEM).The state-of-the-art EDA software using novel computational techniques based on FEM can not only accelerate numerical analysis,but also enable optimization,sensitivity analysis and interactive design tuning based on rigorous electromagnetic model of a device.Several new techniques that help to mitigate the most challenging issues related to FEM based simulation are highlighted.In particular,methods for fast frequency sweep,mesh morphing and surrogate models for efficient optimization and manual design tuning are briefly described,and their efficiency is illustrated on examples involving a 5G multiple-input multiple-output(MIMO)antenna and filter.It is demonstrated that these new computational techniques enable significant reduction of time needed for design closure with the acceleration rates as large as tens or even over one hundred.
基金supported by the Singapore Ministry of Education Academic Research Fund Tier 1。
文摘While sufficient review articles exist on inductive short-range wireless power transfer(WPT),long-haul microwave WPT(MWPT)for solar power satellites,and ambient microwave wireless energy harvesting(MWEH)in urban areas,few studies focus on the fundamental modeling and related design automation of receiver systems.This article reviews the development of MWPT and MWEH receivers,with a focus on rectenna design automation.A novel rectifier model capable of accurately modeling the rectification process under both high and low input power is presented.The model reveals the theoretical boundary of radio frequency-to-direct current(dc)power conversion efficiency and,most importantly,enables an automated system design.The automated rectenna design flow is sequential,with the minimal engagement of iterative optimization.It covers the design automation of every module(i.e.,rectifiers,matching circuits,antennae,and dc–dc converters).Scaling-up of the technique to large rectenna arrays is also possible,where the challenges in array partitioning and power combining are briefly discussed.In addition,several cutting-edge rectenna techniques for MWPT and MWEH are reviewed,including the dynamic range extension technique,the harmonics-based retro-directive technique,and the simultaneous wireless information and power transfer technique,which can be good complements to the presented automated design methodology.
基金supported by the Advanced Materials-National Science and Technology Major Project(2025ZD0618801)the National Natural Science Foundation of China(12426301)。
文摘This review presents battery design automation(BDA)as a transformative artificial intelligence(AI)-driven paradigm for the next-generation lithium-ion battery research and development.Addressing the intricacy of the problems and challenges in developing lithium-ion batteries with better performance,which are cross-scale,long-process,and multi-factor,BDA integrates multi-scale simulations and artificial intelligence into a unified platform.It ranges from atomic-scale material screening to system-level performance prediction.By bridging the gap between scientific innovation and industrial applications,BDA facilitates the development of lithium-ion battery,enhancing its efficiency,safety,and energy density.The paper outlines BDA's architecture,core technologies,current progress,and future challenges,highlighting its potential to revolutionize the battery design process and strengthen the pivotal role of lithium-ion battery in energy storage technology.
基金supported in part by National Key R&D Program of China(No.2021ZD0111501)National Natural Science Foundation of China(No.62176147)+2 种基金Science and Technology Planning Project of Guangdong Province of China(Nos.2021A0505030072 and 2022A1515110660)Science and Technology Special Funds Project of Guangdong Province of China(Nos.STKJ2021176 and STKJ2021019)STU Scientific Research Foundation for Talents(Nos.NTF21001 and NTF22030).
文摘Design automation is a core technology in industrial design software and an important branch of knowledge-worker automation.For example,electronic design automation(EDA)has played an important role in both academia and industry.Design automation for intelligent robots refers to the construction of unified modular graph models for the morphologies(body),controllers(brain),and vision systems(eye)of intelligent robots under digital twin architectures,which effectively supports the automation of the morphology,controller,and vision system design processes of intelligent robots by taking advantage of the powerful capabilities of genetic programming,evolutionary computation,deep learning,reinforcement learning,and causal reasoning in model representation,optimization,perception,decision making,and reasoning.Compared with traditional design methods,MOdular DEsigN Automation(MODENA)methods can significantly improve the design efficiency and performance of robots,effectively avoiding the repetitive trial-and-error processes of traditional design methods,and promoting automatic discovery of innovative designs.Thus,it is of considerable research significance to study MODENA methods for intelligent robots.To this end,this paper provides a systematic and comprehensive overview of applying MODENA in intelligent robots,analyzes the current problems and challenges in thefield,and provides an outlook for future research.First,the design automation for the robot morphologies and controllers is reviewed,individually,with automated design of control strategies for swarm robots also discussed,which has emerged as a prominent research focus recently.Next,the integrated design automation of both the morphologies and controllers for robotic systems is presented.Then,the design automation of the vision systems of intelligent robots is summarized when vision systems have become one of the most important modules for intelligent robotic systems.Then,the future research trends of integrated“Body-Brain-Eye”design automation for intelligent robots are discussed.Finally,the common key technologies,research challenges and opportunities in MODENA for intelligent robots are summarized.
文摘Facing with the design activihes of low efficacy and low standard on design automationdue to the probabilishc, non-rational and non-standard product design. This Paper puts forward thetheory of generalized mapping, which is proved to be effective in the enhancemed of the creativity ofproduct design automation. It further explores the applicahon and progress in the creative greenproduct conceptual and detail design.
文摘From the perspective of the development trend of mechanical automation, in the future development of science and technology, the mechanical manufacturing industry and mechanical automation technology are increasingly closely linked, and their technological integration will gradually deepen, thus significantly improving social benefits.
文摘Product design is considered as the constraint satisfaction problem (CSP),and a new design approach basedon constraint network is proposed and applied to make designautomatic partially. By means of constraint extraction, constraint network construction andoperation, constraint chains are acquired, and then the conceptual design scheme can be got bydecoding the information stored in the design constraint chains, which provides a novelty method formechanical product design automation. Shearing mechanism of shearing machine has been designed bythis way.
基金Supported by National Natural Science Foundation of China (Nos.51375496,51205409)
文摘The development of new products of high quality, low unit cost, and short lead time to market are the key elements required for any enterprise to obtain a competitive advantage. This part of the paper presents a methodology to automatically simulate the conceptual design results in the virtual entity form. To the identified basic mechanisms, their kinematic analysis is carried out by matching basic Barranov trusses, and their virtual entities are modeled based on feature-based technique and encapsulated as one design object. Based on the structures of the basic mechanisms and their connections, a space layout to the mechanical system corresponding to the symbolic scheme is then fulfilled. With the preset-assembly approach, all parts in the mechanical system are put onto proper positions where the constraint equations are met according to the space layout results. In this way, the virtual entity assembly model of the mechanical system relative to the symbolic scheme is set up. The approach presented in this paper can not only obtain innovative conceptual conceptual design results, but also can evaluate their performances under 3-D enviroment efficently.
基金Supported by National Natural Science Foundation of China(Nos.51375496,51205409)
文摘The development of new products of high quality, low unit cost, and short lead time to market are the key elements required for any enterprise to obtain a competitive advantage. For shorting the lead time to market and improving the creativity and performances of the product, a rule-based conceptual design approach and a methodology to simulate the conceptual design results generated in conceptual design process in automatical virtual entity form are presented in this paper. This part of paper presents a rule-based conceptual design method for generating creative conceptual design schemes of mechanisms based on Yan＇s kinematic chain regeneration creative design method. The design rules are adopted to describe the design requirements of the functional characteristics, the connection relationships and topological characteristics among mechanisms. Through the graphs-based reasoning process, the conceptual design space is expanded extremely, and the potential creative conceptual design results are then dug out. By refining the design rules, the solution exploration problem is avioded, and the tendentious conceptual design schemes are generated. Since mechanical, electrical and hydraulic subsystems can be transformed into general mechansims, the conceptual design method presented in this paper can also be applied in the conceptual design problem of complex mechatronic systems. And then the method to identify conceptual design schemes is given.
文摘With the advent of the fourth industrial revolution,the construction industry has undergone a paradigm shift.The smart construction technology market is expected to grow 12%annually in developed countries due to advanced technology investments.It is expected that businesses requiring highly sophisticated technology,for instance companies that need their old facilities upgraded,will become the main focus of the market.As building information modeling(BIM)design is becoming mandatory,such as in the Korea Public Procurement Service,researches regarding building automation,construction,and operation integration management systems based on BIM are conducted.In addition,for construction projects of over 10 billion won,design value engineering(Design VE)implementation,including life cycle cost(LCC)analysis,is mandatory at the design stage to improve quality and reduce the lifetime costs of buildings.In this study,we propose an improvement plan for LCC analysis at the design stage using the KBIMS library,which is an open BIM library developed by the Korean government and research groups.We analyze the existing LCC method,KBIMS library,and attribute information,and model the process that is applied in the LCC analysis system.This is expected to complement the LCC analysis system and improve work productivity.
基金Suppported by the National Natural Science Foundation of China(61303214)
文摘This paper proposes a wireframe model-based method for automated internal design. The method is used to extract geometric structure of an internal wireframe model and find out all loop structures of furniture models. The wireframe models are classified as the multiple independent sub-models according to the geometric structure by statistical analysis. The corresponding models are selected from a 3D model database to build an internal scene based on characteristic points of furniture wireframe models. In the experiments 3D database via manually selected 268 3D furniture models from Google 3D warehouse is built up. The experiments show that the method can construct 3D scenes in 1.1×103 ms. This method costs less time compared with traditional hierarchical method and depth-sensing camera method in the same experimental conditions. The method can be also used for 3D visualization either with complex backgrounds.
基金Supported by National High Technology Research and Development Program of China(863 Program,Grant No.2015AA043701-02)
文摘When designing a complex mechatronics system,such as high speed trains,it is relatively difficult to effectively simulate the entire system's dynamic behaviors because it involves multi-disciplinary subsystems.Currently,a most practical approach for multi-disciplinary simulation is interface based coupling simulation method,but it faces a twofold challenge:spatial and time unsynchronizations among multi-directional coupling simulation of subsystems.A new collaborative simulation method with spatiotemporal synchronization process control is proposed for coupling simulating a given complex mechatronics system across multiple subsystems on different platforms.The method consists of 1)a coupler-based coupling mechanisms to define the interfacing and interaction mechanisms among subsystems,and 2)a simulation process control algorithm to realize the coupling simulation in a spatiotemporal synchronized manner.The test results from a case study show that the proposed method 1)can certainly be used to simulate the sub-systems interactions under different simulation conditions in an engineering system,and 2)effectively supports multi-directional coupling simulation among multi-disciplinary subsystems.This method has been successfully applied in China high speed train design and development processes,demonstrating that it can be applied in a wide range of engineering systems design and simulation with improved efficiency and effectiveness.
基金the National Natural Science Foundation of China (No.60603088)
文摘Explaining the causes of infeasibility of Boolean formulas has many practical applications in electronic design automation and formal verification of hardware.Furthermore,a minimum explanation of infeasibility that excludes all irrelevant information is generally of interest.A smallest-cardinality unsatisfiable subset called a minimum unsatisfiable core can provide a succinct explanation of infea-sibility and is valuable for applications.However,little attention has been concentrated on extraction of minimum unsatisfiable core.In this paper,the relationship between maximal satisfiability and mini-mum unsatisfiability is presented and proved,then an efficient ant colony algorithm is proposed to derive an exact or nearly exact minimum unsatisfiable core based on the relationship.Finally,ex-perimental results on practical benchmarks compared with the best known approach are reported,and the results show that the ant colony algorithm strongly outperforms the best previous algorithm.
文摘DAG-MAP is an FPGA technology mapping algorithm for delay optimization and the labeling phase is the algorithm’s kernel. This paper studied the labeling phase and presented an improved labeling method. It is shown through the experimental results on MCNC benchmarks that the improved method is more effective than the original method while the computation time is almost the same.
文摘Adder with high efficiency and accuracy is the major requirement for electronic circuit design.Here the optical logic gate based adder circuit is designed for better performance analysis of optical input signals varied with the wavelength.Efficiency of the adder can be improved by increasing the speed of operation,reducing the complexity and power consumption.To maintain the high efficiency with accuracy,a new combination of adder has been proposed and tested in this work.A new adder by combining the logics of Brent Kung,Sklansky and Kogge Stone adders by Tree Grafting Technique(BSKTGT)has been tested along with individual Brent Kung,Sklansky,Kogge Stone,Knowles,Han Carlson and Ladner Fischer adders.All the existing and proposed adders have been designed and tested for efficiency with the help of Cadence platform with 45 nm technology.Efficiency in terms of Size reduction,Power reduction,Power Delay Product(PDP)and accuracy in adding 8 bit,16 bit and 32 bit values had been tested for all the adders and found that the 32 bit BSKTGT adder performed well in all aspects and have produced better efficiency with the power consumption of 52.512426μW with 3.16%of power saving over Brent Kung adder,utilised an area of 631.191 with 8.55%reduction over Kogge Stone Adder,has the cell count of 132 which is 10.61%reduction over Brent Kung Adder and PDP value of 122.6695 J,which is 0.46%less than that of the Han Carlson Adder.
基金supported by the National Natural Science Foundation of China(Grant Nos.51878436,51708397).
文摘In the past decade, the construction speed of high-rise office towers worldwide hasexhibited explosive growth. The unique morphological characteristics of high-rise office towersresult in higher shape factors and relatively larger thermal loads. The traditional workflow of“design-evaluation” in the early stages of design imposes constraints on the diversity of towermorphology, the timeliness of performance evaluation, and the efficient integration of systems. Therefore, targeting the geometric characteristics of high-rise office towers, a systematically developed and universally applicable design grammar, named “Vertex-Based PolygonalGenerative Grammar (VPGG)” is proposed. Additionally, a corresponding early-stage performance driven High-rise Office Tower Generative Design Framework (HOT_GDF) is introduced.Case study results demonstrate that, with the support of Artificial Neural Network, utilizingthis system can not only globally explore the diversity of tower morphologies but also efficiently uncover greater energy-saving potential in complex architectural forms compared tosimpler cubic forms, with an improvement of up to 7.76% during the early stages of design. Designed from the perspective of architects, the framework achieves logical, refined, and visualreal-time interaction between computers and human minds during the early stages of towerdesign. This enhances design efficiency and facilitates design decision-making. It systematically integrates considerations for environmental performance, such as thermal load and thermal comfort, into the design process. Furthermore, it couples various aspects of morphologicaldesign with corresponding building performance, helping users in making design decisions froma rational and quantifiable perspective. This captures greater design potential, encompassingboth form and performance, for high-rise office towers during the initial design phase.
基金the Foundation of State Key Laboratory of Structural Analysis for Industrial Equipment(No.S18315)。
文摘Ship pipe layout optimization is one of the difficulties and hot spots in ship intelligent production design.A high-dimensional vector coding is proposed based on the research of related pipe coding and ship pipe route features in this paper.The advantages of this coding method are concise structure,strong compatibility,and independence from the gridding space.Based on the proposed coding,the particle swarm optimization algorithm is implemented,and the algorithm is improved by the pre-selected path strategy and the branch-pipe processing strategy.Finally,two simulation results reveal that the proposed coding and algorithm have feasibility and engineering practicability.
基金supported by the National Natural Science Foundation of China(NSFC)(No.62072190)TCL Science and Technology Innovation Fund,China.
文摘We study the task of automated house design,which aims to automatically generate 3D houses from user requirements.However,in the automatic system,it is non-trivial due to the intrinsic complexity of house designing:1)the understanding of user requirements,where the users can hardly provide high-quality requirements without any professional knowledge;2)the design of house plan,which mainly focuses on how to capture the effective information from user requirements.To address the above issues,we propose an automatic house design framework,called auto-3D-house design(A3HD).Unlike the previous works that consider the user requirements in an unstructured way(e.g.,natural language),we carefully design a structured list that divides the requirements into three parts(i.e.,layout,outline,and style),which focus on the attributes of rooms,the outline of the building,and the style of decoration,respectively.Following the processing of architects,we construct a bubble diagram(i.e.,graph)that covers the rooms′attributes and relations under the constraint of outline.In addition,we take each outline as a combination of points and orders,ensuring that it can represent the outlines with arbitrary shapes.Then,we propose a graph feature generation module(GFGM)to capture layout features from the bubble diagrams and an outline feature generation module(OFGM)for outline features.Finally,we render 3D houses according to the given style requirements in a rule-based method.Experiments on two benchmark datasets(i.e.,RPLAN and T3HM)demonstrate the effectiveness of our A3HD in terms of both quantitative and qualitative evaluation metrics.
基金Supported by the National Natural Science Foundation of China(Grant No.60803018)
文摘Networks-on-chip(NoC)is a promising communication architecture for next generation SoC.The size of buffer used in on-chip routers impacts the silicon area and power consumption of NoC dominantly.It is important to plan the total buffer-size and each router buffer-allocation carefully for an efficient NoC design.In this paper,we propose two buffer planning algorithms for application-specific NoC design.More precisely,given the traffic parameters and performance constraints of target application,the proposed algorithms automatically determine minimal buffer budget and assign the buffer depth for each input channel in different routers.The experimental results show that the proposed algorithms can significantly reduce total buffer usage and guarantee the performance requirements.
